---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
- lewtun/dog_food
metrics:
- accuracy
model-index:
- name: convnext-tiny-finetuned-dogfood
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: lewtun/dog_food
      type: lewtun/dog_food
      args: lewtun--dog_food
    metrics:
    - type: accuracy
      value: 0.7253333333333334
      name: Accuracy
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: lewtun/dog_food
      type: lewtun/dog_food
      config: lewtun--dog_food
      split: test
    metrics:
    - type: accuracy
      value: 0.6866666666666666
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTFlMjM4ZTBkZjJjMDY3MWRkM2U1MTlkZGQwNzczNGU1YTdhN2NkZWJlZjU1ZTQyNzA0NzFkZjllNzE0OTAxYSIsInZlcnNpb24iOjF9.BT36mw-wd_pEa50sWbrIVhponbLDTIAP3M6BGcrQWcJ1Ulj8lEzK0XOGHFfOLPwzYH4MpnkdU2L_GLgc9KDhDA
    - type: precision
      value: 0.7181484576740136
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjk2ZmRiOGJjNjM1NTMwM2U5MDJiNDMzNDAyMDUzZWQ3MGY1M2M2MzViNzY5YzQ5YjhmMTk2ZmQzNTAzYTY2MCIsInZlcnNpb24iOjF9.2x6HyK3oUrkYJi2GmRI1i1j9OhRB7oCuAIlsO0Ow352-t5kSayLT-rEpRy7Nr2yJL_h_n3LPBvUcydsDIz7ACQ
    - type: precision
      value: 0.6866666666666666
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTkzNjA4NmRlM2Q4NDZmYzVhYzE0ZGI4YTE3N2M1ZmE1M2QxOGIzOWNmNGI1OTQ3MjE2M2VjYmU5MDNkOThjOCIsInZlcnNpb24iOjF9.8pi-kosLfWJHnPSsiwtFI6cP9VplNbBJH4j4dswHPFl_T90JfOE7Ly6tOqGAJsbqbqFyUJQE_MkC3x7Zr2fNDQ
    - type: precision
      value: 0.7235392474854474
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY2MDdlY2NhOTdiNzZkMzcwZWY5ZDc1MDZhNzRkMDEwYjc0MjA0MWQyZmIxMTk1ZjlmNmU0Y2M3MzY0NTJhMyIsInZlcnNpb24iOjF9.9S8Q_vU77_ZVmgOQQEphEZ-6YtGOgfsk8h8R_wWrgJUCgS_KoUysMvGEi9fdg1nK8wIadIOaioOefsEERvikDQ
    - type: recall
      value: 0.7006250320552644
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGM3ZTBhNDUwMmIzMWM3NDljYmE0YTA2ZTVlNDI4YjZhNGY4MGNiN2U0MTU0NWE1MDkxYTlhMmRjMDE3ZGYwZSIsInZlcnNpb24iOjF9.qmMrg-wzbt_aLY8QfENxjD2ZIOc_jG22-4TjNDlslV8zWKLcmPFrMj1BDPQI3BN9yeV32EtydXspdeKIMShmDg
    - type: recall
      value: 0.6866666666666666
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZmZmIyMDViNzUyNGUzZDcxM2ZkZTJlNjI5ZjhiMTJkZGVjZjFkNzc2YzYzYjM1YjI4Mzc3YzQwOWM1OWFmNiIsInZlcnNpb24iOjF9.XxpPp6jfPr0xKrS4DOxker7bvx7vsjT7lSwts6Pr4BuhwqE1-6t76vdZxFFSdRBri4BioyMxM1w1H1acPjhYAQ
    - type: recall
      value: 0.6866666666666666
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmEzMDcxY2MxM2Y2YzczZmQzMGI2MzQ0MTY2Y2M5OWQ0ZTBiYjJiMjZiYmE2Y2Q5ZmI4YzRjMzdkYzNmMjI0OCIsInZlcnNpb24iOjF9.9bxTKxR9yOCgwaEMdau4ggn2v5F_AUBevk6uohhntBsaaIGSI0ZOAP1E9j2ZISdgMobmOSzwPDNIAr8qxMQtAw
    - type: f1
      value: 0.6690027379410202
      name: F1 Macro
      verified: true
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    - type: f1
      value: 0.6866666666666666
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWMzMDM5MjFiM2VkYzhmMGI2Y2M0YTlmNGQwOGRlNmNlYzY2YzdiMjhjMmRiMDg3MDc1ZjJmZTY5MWEyNDNjNiIsInZlcnNpb24iOjF9.2jOv8xqDktjkxqtK50pVPWpFuynq_h6fdx-XXmiCIhxth-Uft5PdZwdmJukP06AY4QIzvnHWYi9sjx5OL_3RAw
    - type: f1
      value: 0.6647526870157503
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTM4M2NiYmJlMmQwYmQ5MTU4OWNhZGI2ZjBhZmEyYmNkZmFhZDc2NmI2MzRmYzdjYjg5NTExN2FjNmZlN2NiZCIsInZlcnNpb24iOjF9.kASz7jCoSofXLgd-9yyCUG_oyUasf-FSa0p_piHTIrJBWdtEKyxTTlWm0EhQBy3C0njBp0EwZwS6qN16xl5tBg
    - type: loss
      value: 0.9549381732940674
      name: loss
      verified: true
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    - type: matthews_correlation
      value: 0.5737269361889515
      name: matthews_correlation
      verified: true
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---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# convnext-tiny-finetuned-dogfood

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the lewtun/dog_food dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9277
- Accuracy: 0.7253

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0681        | 1.0   | 16   | 0.9125          | 0.7422   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1